Nvidia Empowers Chinese Automakers with AI Car Computer Technology

Nvidia, the leading American tech company, has partnered with several Chinese automakers to equip their vehicles with advanced AI car computer technology. Li Auto, a prominent Chinese electric automaker, has chosen Nvidia’s DRIVE Thor centralized car computer to power its next-generation fleets.

In addition to Li Auto, other major automakers such as GWM (Great Wall Motor), ZEEKR, and Xiaomi will utilize Nvidia’s DRIVE Orin platform for their intelligent automated-driving systems. This partnership indicates a growing trend in the transportation industry towards embracing centralized compute for highly automated and autonomous driving.

Nvidia’s DRIVE Thor is an onboard computer unit that integrates various smart functions into a single AI platform. It enables self-driving capabilities, parking assistance, passenger monitoring, and other AI features in vehicles. The superior AI performance of Nvidia’s DRIVE Thor has made it the preferred choice for automakers looking to enhance the capabilities of their future vehicle roadmaps.

Li Auto, specifically, employs two DRIVE Orin processors in its AD Max assisted-driving system for L-series models. These processors offer a combined 508 TOPS (tera operations per second), enabling real-time processing of sensor data for full-scenario autonomous navigation, ADAS (advanced driver-assistance systems), lane change control (LCC), automated parking, and active safety functions like automatic emergency braking (AEB).

The partnership between Nvidia and Chinese automakers highlights the increasing adoption of AI car computer technology in the industry. Investors have responded positively to the news, with Nvidia’s stock experiencing a 4.99% increase, while Li Auto’s stock trades down slightly by 0.75% during mid-day trading on Monday.

This collaboration opens the door for enhanced technological innovation and advancements in the Chinese automotive market, paving the way for future breakthroughs in autonomous driving and intelligent transportation systems.

The source of the article is from the blog elperiodicodearanjuez.es

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